Now showing items 181-200 of 236

    • Rainbow: A Rendering-Aware Index for High-Quality Spatial Scatterplots with Result-Size Budgets 

      Bai, Qiushi; Alsudais, Sadeem; Li, Chen; Zhao, Shuang (The Eurographics Association, 2022)
      We study the problem of computing a spatial scatterplot on a large dataset for arbitrary zooming/panning queries. We introduce a general framework called ''Rainbow'' that generates a high-quality scatterplot for a given ...
    • Rapid k-d Tree Construction for Sparse Volume Data 

      Zellmann, Stefan; Schulze, Jürgen P.; Lang, Ulrich (The Eurographics Association, 2018)
      While k-d trees are known to be effective for spatial indexing of sparse 3-D volume data, full reconstruction, e.g. due to changes to the alpha transfer function during rendering, is usually a costly operation with this ...
    • Ray Tracing Dynamic Scenes with Shadows on the GPU 

      Guntury, Sashidhar; Narayanan, P. J. (The Eurographics Association, 2010)
      We present fast ray tracing of dynamic scenes in this paper with primary and shadow rays. We present a GPUfriendly strategy to bring coherency to shadow rays, based on previous work on grids as acceleration structures. We ...
    • Real-time Particle-based Snow Simulation on the GPU 

      Goswami, Prashant; Markowicz, Christian; Hassan, Ali (The Eurographics Association, 2019)
      This paper presents a novel real-time particle-based method for simulating snow on the GPU. Our method captures compression and bonding between snow particles, and incorporates the thermodynamics to model the realistic ...
    • Real-Time Ray Tracer for Visualizing Massive Models on a Cluster 

      Ize, Thiago; Brownlee, Carson; Hansen, Charles D. (The Eurographics Association, 2011)
      We present a state of the art read-only distributed shared memory (DSM) ray tracer capable of fully utilizing modern cluster hardware to render massive out-of-core polygonal models at real-time frame rates. Achieving this ...
    • Remote Large Data Visualization in the ParaView Framework 

      Cedilnik, Andy; Geveci, Berk; Moreland, Kenneth; Ahrens, James; Favre, Jean (The Eurographics Association, 2006)
      Scientists are using remote parallel computing resources to run scientific simulations to model a range of scientific problems. Visualization tools are used to understand the massive datasets that result from these ...
    • Rendering Molecular Surfaces using Order-Independent Transparency 

      Kauker, Daniel; Krone, Michael; Panagiotidis, Alexandros; Reina, Guido; Ertl, Thomas (The Eurographics Association, 2013)
      In this paper we present a technique for interactively rendering transparent molecular surfaces. We use Puxels, our implementation of per-pixel linked lists for order-independent transparency rendering. Furthermore, we ...
    • Rendering on Demand 

      Chalmers, A.; Debattista, K.; Sundstedt, V.; Longhurst, P.; Gillibrand, R. (The Eurographics Association, 2006)
      In order for computer graphics to accurately represent real world environments, it is essential that physically based illumination models are used. However, typical global illumination solutions may take many seconds, even ...
    • Revisiting Parallel Rendering for Shared Memory Machines 

      Nouanesengsy, Boonthanome; Ahrens, James; Woodring, Jonathan; Shen, Han-Wei (The Eurographics Association, 2011)
      Increasing the core count of CPUs to increase computational performance has been a significant trend for the better part of a decade. This has led to an unprecedented availability of large shared memory machines. Programming ...
    • Revisiting the Evaluation of In Situ Lagrangian Analysis 

      Sane, Sudhanshu; Bujack, Roxana; Childs, Hank (The Eurographics Association, 2018)
      In situ usage of Lagrangian techniques has proven to be superior with respect to emerging supercomputing trends than the traditional Eulerian approach for scientific flow analysis. However, previous studies have not informed ...
    • Robust Iterative Find-Next-Hit Ray Traversal 

      Wald, Ingo; Amstutz, Jefferson; Benthin, Carsten (The Eurographics Association, 2018)
      We present two different methods for improving the performance and robustness of ray tracing algorithms that require iterating through multiple successive intersections along the same ray. Our methods do so without ever ...
    • A Scalable Cluster-based Parallel Simplification Framework for Height Fields 

      Gouranton, V.; Limet, S.; Madougou, S.; Melin, E. (The Eurographics Association, 2004)
      In this paper, we present a method to interactively render 3D large datasets on a PC Cluster. Classical methods use simplification to fill up the gap between such models and graphics card capabilities. Unfortunatelly, ...
    • Scalable In Situ Computation of Lagrangian Representations via Local Flow Maps 

      Sane, Sudhanshu; Yenpure, Abhishek; Bujack, Roxana; Larsen, Matthew; Moreland, Kenneth; Garth, Christoph; Johnson, Chris R.; Childs, Hank (The Eurographics Association, 2021)
      In situ computation of Lagrangian flow maps to enable post hoc time-varying vector field analysis has recently become an active area of research. However, the current literature is largely limited to theoretical settings ...
    • Scalable Parallel Feature Extraction and Tracking for Large Time-varying 3D Volume Data 

      Wang, Yang; Yu, Hongfeng; Ma, Kwan-Liu (The Eurographics Association, 2013)
      Large-scale time-varying volume data sets can take terabytes to petabytes of storage space to store and process. One promising approach is to process the data in parallel, and then extract and analyze only features of ...
    • Scalable Parallel Flow Visualization Using 3D Line Integral Convolution for Large Scale Unstructured Simulation Data 

      Liao, Yangguang; Matsui, Hiroaki; Kreylos, Oliver; Kellogg, Louise (The Eurographics Association, 2019)
      To address the need of highly efficient and scalable parallel flow visualization methods, we developed a flow visualization system for large unstructured simulation data using parallel 3D line integral convolution (LIC). ...
    • A Scalable Parallel Force-Directed Graph Layout Algorithm 

      Tikhonova, Anna; Ma, Kwan-Liu (The Eurographics Association, 2008)
      Understanding the structure, dynamics, and evolution of large graphs is becoming increasingly important in a variety of fields. The demand for visual tools to aid in this process is rising accordingly. Yet, many algorithms ...
    • Scalable Parallel Out-of-core Terrain Rendering 

      Goswami, Prashant; Makhinya, Maxim; Bösch, Jonas; Pajarola, Renato (The Eurographics Association, 2010)
      In this paper, we introduce a novel out-of-core parallel and scalable technique for rendering massive terrain datasets. The parallel rendering task decomposition is implemented on top of an existing terrain renderer using ...
    • Scalable Seams for Gigapixel Panoramas 

      Philip, Sujin; Summa, Brian; Tierny, Julien; Bremer, Peer-Timo; Pascucci, Valerio (The Eurographics Association, 2013)
      Gigapixel panoramas are an increasingly popular digital image application. They are often created as a mosaic of smaller images composited into a larger single image. The mosaic acquisition can occur over many hours causing ...
    • Scalable Sort-First Parallel Direct Volume Rendering with Dynamic Load Balancing 

      Moloney, Brendan; Weiskopf, Daniel; Moeller, Torsten; Strengert, Magnus (The Eurographics Association, 2007)
      We describe a sort-first algorithm for parallel direct volume rendering on GPUs, with the intent of high scalability in regards to both performance and data set size. We explore three novel techniques for estimating the ...
    • A Scalable Streamline Generation Algorithm Via Flux-Based Isocontour Extraction 

      Biswas, Ayan; Strelitz, Richard; Woodring, Jonathan; Chen, Chun-Ming; Shen, Han-Wei (The Eurographics Association, 2016)
      Streamlines are commonly used for visualizing flow fields, but particle-tracing based streamline computation usually does not scale well as the data size and complexity increase. Large flow simulations like global ocean ...